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에폭시-실리카 나노 복합소재의 열화 특성 및 거동 분석

Thermal Degradation Analyses of Epoxy-Silica Nano Composites

  • Jang, Seo-Hyun (Department of Mechanical Engineering, Inha University) ;
  • Han, Yusu (Department of Polymer Science and Engineering, Inha University) ;
  • Hwang, Do Soon (Korea Aerospace Research Institute) ;
  • Jung, Joo Won (Korea Aerospace Research Institute) ;
  • Kim, Yeong K. (Dept. of Mechatronics Engineering, Inha University)
  • 투고 : 2020.06.16
  • 심사 : 2020.09.08
  • 발행 : 2020.10.31

초록

이 연구에서는 에폭시 수지에 나노 실리카 입자의 농도가 열화 거동에 미치는 영향에 대해 알아보았다. 약 12 nm 크기의 실리카 입자를 에폭시 수지에 세가지 무게비로 섞은 나노 복합소재를 제작하여 열중량분석(Thermogravimetric Analysis, TGA)을 이용하여 여섯 가지의 서로 다른 승온률 하에서 열화거동 변화를 분석하였다. 등변환법(Isoconversional Method)에 기초한 Friedman, Flynn-Wall-Ozawa, Kissinger 그리고 DAEM(Distributed Activation Energy Method) 방식으로 활성화에너지를 정량적으로 계산하였다. 계산 결과에 의하면 순수 에폭시와 비교했을 때, 실리카 입자가 함유될 경우 활성화에너지가 상승한다는 것을 확인할 수 있었다. 그러나 10%와 18%의 활성화에너지 값이 유사함에 따라 반드시 함유랑에 비례하지는 않는 것으로 나타났다. 또한 각 방법에 의한 계산방식을 분석하여 그 결과를 비교하였다.

This paper analyzed the degradation behaviors of silica nano epoxy composite based on the isoconversional method. The size of the silica nano particle was about 12 nm and the particles were mixed by three different weight ratios to make the degradation test samples. The thermogravimetric analyses were performed under six different temperature increase rates to measure the weight changes. Four different methods, Friedman, Flynn-Wall-Ozawa, Kissinger and DAEM (Distributed Activation Energy Method), were employed to calculate the activation energies depending on the conversion ratios, and their calculation results were compared. The results represented that the activation energy was increased when the silica nano particles were mixed up to 10%, indicating the definite contribution of the particles to the degradation behavior enhancements. However, the enhancement was not proportional to the particle mixture ratio by demonstrating the similar activation energies between 10% and 18% samples. The calculation results by the different methods were also compared and discussed.

키워드

참고문헌

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